Cracking the Code: Putting Llama 3.1 to the Test 🏆
This exploration dives into the reasoning capabilities of Llama 3.1, the latest large language model. We challenged three variants (8B, 70B, and 405B) with five increasingly complex word problems, analyzing their performance and comparing it to previous models.
Round 1: Bumper Cars! 🚗
- The first problem involved a bumper car scenario with a simple solution.
- Llama 3.1 (405B) aced this round, alongside GPT-4 Turbo, showcasing its prowess in handling straightforward logic.
Round 2: Marcus and His Homework 📚
- The second problem focused on percentages and required careful understanding.
- Llama 3.1 (70B) performed well, reaching 65 out of 120 correct combinations, demonstrating its ability to manage moderately complex calculations.
Round 3 & 4: Alis’ Family Ties 👨👩👧👦
- The third and fourth problems introduced the concept of family relationships, with the fourth adding distractor sentences.
- Llama 3.1 (405B) tackled the standard Alis problem with a respectable 15 out of 24 correct answers.
- However, all variants struggled when distractors were added, highlighting a potential area for improvement in discerning relevant information.
Round 5: The Ultimate Test 🤯
- The final problem combined family relationships with a higher level of reasoning.
- Unfortunately, all Llama 3.1 variants faltered here, indicating that handling highly complex reasoning remains a challenge.
Key Takeaways 🗝️
- Promising Performance: Llama 3.1 shows potential, particularly in simpler reasoning tasks, and holds its own against other large language models.
- Open-Source Advantage: The open-source nature of Llama 3.1 offers exciting opportunities for customization and development.
- Room for Growth: Complex reasoning and distractor sentences pose hurdles, suggesting areas where future iterations can improve.
Your Turn: Experiment and Explore! 🚀
This exploration provides a glimpse into the evolving world of AI reasoning. Dive deeper by experimenting with the provided code and testing Llama 3.1 with your own word problems! 🤔
Resources 🧰
- Project Files & Code Review: https://www.patreon.com/echohive/ Get access to the code used in this experiment and receive insights through code reviews.
- Echohive Website: https://www.echohive.live/ Explore over 200 videos and code downloads for various AI projects.
- 1000x MasterClass: https://www.patreon.com/echohive/ Learn to code faster and more efficiently with AI assistance.
- FastAPI Course: https://www.patreon.com/echohive/ Master the FastAPI framework for building APIs.
- Discord Community: https://discord.gg/echohive Join the community for discussions and collaborations.
- Twitter: https://twitter.com/hive_echo Stay updated on the latest news and projects.
